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2017 Fiscal Year Final Research Report

Research on syntactic parsing with multiword expressions

Research Project

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Project/Area Number 15K16053
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Intelligent informatics
Research InstitutionNara Institute of Science and Technology

Principal Investigator

Shindo Hiroyuki  奈良先端科学技術大学院大学, 情報科学研究科, 助教 (20734784)

Project Period (FY) 2015-04-01 – 2018-03-31
Keywords構文解析 / 複合表現 / 複単語表現 / アノテーション
Outline of Final Research Achievements

In natural language processing, there is a lot of research on syntactic parsing exploiting word-based compositionality, that is, a meaning of phrase or sentence can be computed from the meaning of the words and the way they are combined. On the other hand, non-compositional expressions such as idiomatic constructions has been overlooked until now. In this work, we developed a method for syntactic parsing with identifying multiword expressions, and an efficient way to annotate multiword expressions on syntax trees. Further, we show that joint learning of syntactic parsing and identification of multiword expressions improves the performance of both tasks.

Free Research Field

自然言語処理

URL: 

Published: 2019-03-29  

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